| AI | Artificial Intelligence |
| ANVISA | Agência Nacional de Vigilância Sanitária |
| AUC | Area Under the Curve |
| ATC | Anatomical Therapeutic Chemical Classification System |
| BBBC | Broad Bioimage Benchmark Collection |
| CPU | Central Processing Unit |
| CVD | Cardiovascular Disease |
| DST | Deep Stacked Transformation |
| DPIA | Data Transfer Impact Assessments |
| DSC | Dice Similarity Coefficient |
| EMR | Electronic Medical Record |
| FedNCA | Equitable Federated Learning with Neighborhood Component Analysis |
| FeTS | Federated Tumor Segmentation |
| FL | Federated Learning |
| GPU | Graphics Processing Unit |
| HE | Homomorphic Encryption |
| HIC | High-Income Country |
| ICD | International Classification of Diseases |
| LLM | Large Language Model |
| LOINC | Logical Observation Identifiers Names and Codes |
| MACE | Major Adverse Cardiovascular Event |
| MCTI | Ministry of Science, Technology and Innovation (Brazil) |
| ML | Machine Learning |
| PNS | Pesquisa Nacional de Saúde (National Health Survey, Brazil) |
| PRE-CARE ML | Predictive Care through Machine Learning (ERA PerMed Consortium) |
| RF | Random Forest |
| SaMD | Software as a Medical Device |
| SEIDIGI | Secretaria de Informação e Saúde Digital |
| SHAP | SHapley Additive exPlanations |
| SMPC | Secure Multi-Party Computation |
| SUS | Sistema Único de Saúde (Brazilian Unified Health System) |
| TL | Transfer Learning |
| XGBoost | Extreme Gradient Boosting |